Loading [MathJax]/jax/output/SVG/jax.js
Research article

Brain structure changes over time in normal and mildly impaired aged persons

  • Received: 29 January 2020 Accepted: 08 May 2020 Published: 20 May 2020
  • Structural brain changes in aging are known to occur even in the absence of dementia, but the magnitudes and regions involved vary between studies. To further characterize these changes, we analyzed paired MRI images acquired with identical protocols and scanner over a median 5.8-year interval. The normal study group comprised 78 elders (25M 53F, baseline age range 70–78 years) who underwent an annual standardized expert assessment of cognition and health and who maintained normal cognition for the duration of the study. We found a longitudinal grey matter (GM) loss rate of 2.56 ± 0.07 ml/year (0.20 ± 0.04%/year) and a cerebrospinal fluid (CSF) expansion rate of 2.97 ± 0.07 ml/year (0.22 ± 0.04%/year). Hippocampal volume loss rate was higher than the GM and CSF global rates, 0.0114 ± 0.0004 ml/year (0.49 ± 0.04%/year). Regions of greatest GM loss were posterior inferior frontal lobe, medial parietal lobe and dorsal cerebellum. Rates of GM loss and CSF expansion were on the low end of the range of other published values, perhaps due to the relatively good health of the elder volunteers in this study. An additional smaller group of 6 subjects diagnosed with MCI at baseline were followed as well, and comparisons were made with the normal group in terms of both global and regional GM loss and CSF expansion rates. An increased rate of GM loss was found in the hippocampus bilaterally for the MCI group.

    Citation: Charles D Smith, Linda J Van Eldik, Gregory A Jicha, Frederick A Schmitt, Peter T Nelson, Erin L Abner, Richard J Kryscio, Ronan R Murphy, Anders H Andersen. Brain structure changes over time in normal and mildly impaired aged persons[J]. AIMS Neuroscience, 2020, 7(2): 120-135. doi: 10.3934/Neuroscience.2020009

    Related Papers:

    [1] Saad Ihsan Butt, Artion Kashuri, Muhammad Umar, Adnan Aslam, Wei Gao . Hermite-Jensen-Mercer type inequalities via Ψ-Riemann-Liouville k-fractional integrals. AIMS Mathematics, 2020, 5(5): 5193-5220. doi: 10.3934/math.2020334
    [2] Yousaf Khurshid, Muhammad Adil Khan, Yu-Ming Chu . Conformable integral version of Hermite-Hadamard-Fejér inequalities via η-convex functions. AIMS Mathematics, 2020, 5(5): 5106-5120. doi: 10.3934/math.2020328
    [3] M. Emin Özdemir, Saad I. Butt, Bahtiyar Bayraktar, Jamshed Nasir . Several integral inequalities for (α, s,m)-convex functions. AIMS Mathematics, 2020, 5(4): 3906-3921. doi: 10.3934/math.2020253
    [4] Yousaf Khurshid, Muhammad Adil Khan, Yu-Ming Chu . Conformable fractional integral inequalities for GG- and GA-convex functions. AIMS Mathematics, 2020, 5(5): 5012-5030. doi: 10.3934/math.2020322
    [5] Muhammad Uzair Awan, Nousheen Akhtar, Artion Kashuri, Muhammad Aslam Noor, Yu-Ming Chu . 2D approximately reciprocal ρ-convex functions and associated integral inequalities. AIMS Mathematics, 2020, 5(5): 4662-4680. doi: 10.3934/math.2020299
    [6] Muhammad Amer Latif, Mehmet Kunt, Sever Silvestru Dragomir, İmdat İşcan . Post-quantum trapezoid type inequalities. AIMS Mathematics, 2020, 5(4): 4011-4026. doi: 10.3934/math.2020258
    [7] Hengxiao Qi, Muhammad Yussouf, Sajid Mehmood, Yu-Ming Chu, Ghulam Farid . Fractional integral versions of Hermite-Hadamard type inequality for generalized exponentially convexity. AIMS Mathematics, 2020, 5(6): 6030-6042. doi: 10.3934/math.2020386
    [8] Ghulam Farid, Saira Bano Akbar, Shafiq Ur Rehman, Josip Pečarić . Boundedness of fractional integral operators containing Mittag-Leffler functions via (s,m)-convexity. AIMS Mathematics, 2020, 5(2): 966-978. doi: 10.3934/math.2020067
    [9] Tekin Toplu, Mahir Kadakal, İmdat İşcan . On n-Polynomial convexity and some related inequalities. AIMS Mathematics, 2020, 5(2): 1304-1318. doi: 10.3934/math.2020089
    [10] Gou Hu, Hui Lei, Tingsong Du . Some parameterized integral inequalities for p-convex mappings via the right Katugampola fractional integrals. AIMS Mathematics, 2020, 5(2): 1425-1445. doi: 10.3934/math.2020098
  • Structural brain changes in aging are known to occur even in the absence of dementia, but the magnitudes and regions involved vary between studies. To further characterize these changes, we analyzed paired MRI images acquired with identical protocols and scanner over a median 5.8-year interval. The normal study group comprised 78 elders (25M 53F, baseline age range 70–78 years) who underwent an annual standardized expert assessment of cognition and health and who maintained normal cognition for the duration of the study. We found a longitudinal grey matter (GM) loss rate of 2.56 ± 0.07 ml/year (0.20 ± 0.04%/year) and a cerebrospinal fluid (CSF) expansion rate of 2.97 ± 0.07 ml/year (0.22 ± 0.04%/year). Hippocampal volume loss rate was higher than the GM and CSF global rates, 0.0114 ± 0.0004 ml/year (0.49 ± 0.04%/year). Regions of greatest GM loss were posterior inferior frontal lobe, medial parietal lobe and dorsal cerebellum. Rates of GM loss and CSF expansion were on the low end of the range of other published values, perhaps due to the relatively good health of the elder volunteers in this study. An additional smaller group of 6 subjects diagnosed with MCI at baseline were followed as well, and comparisons were made with the normal group in terms of both global and regional GM loss and CSF expansion rates. An increased rate of GM loss was found in the hippocampus bilaterally for the MCI group.



    The Bernoulli numbers are defined by the exponential generating function:

    yey1=n=0Bnynn!.

    For their wide applications to classical analysis (cf. Stromberg [47, Chapter 7], number theory (cf. Apostol [3, §12.12]), combinatorics [44, §3.4] and numerical mathematics (cf. Arfken [5]), these numbers appear frequently in the mathematical literature (see Comtet [17, §1.14], Graham et al. [26, §6.5] and Hansen [27, §50]).

    There exist numerous interesting properties (cf. [2,4,8,13,24]); in particular, about recurrence relations (cf. [1,21,30,37]), reciprocities (cf. [12,25,41,42,49]), convolutions (cf. [14,15,16,22,34]), multiple sums (cf. [10,11,19,32]) and combinatorial applications (cf. [6,31,35,38]). A few of them are recorded here as examples:

    ● Arithmetic sums

    mk=1kn=nj=0(m+1)j+1n+1(n+1j+1)Bnj.

    ● Binomial recurrences

    nk=0(nk)Bk=(1)nBn,n0;n2k=1(nk)kBk=n2Bn1,n3;nk=0(nk)Bk2+nk=Bn+1n+1,n0.

    ● Convolutions of the Miki type (cf. [12,22,34,36,40])

    1k=1BkBkk1k=2(k)BkBkk=HB,k=0BkBk2k=2(+1k+1)BkBkk+2=(+1)B.

    ● Riemann zeta series

    k=11k2n=(1)n122n1B2n(2n)!π2n,k=1(1)k1k2n=(1)n(122n1)B2n(2n)!π2n,k=11(2k1)2n=(1)n(122n)B2n2(2n)!π2n.

    The aim of this paper is to examine and review systematically explicit formulae of Bernoulli numbers. Among known double sum expressions, the simplest one reads as

    Bn=nj=0jk=0(1)kj+1(jk)kn=nk=0knnj=k(1)kj+1(jk).

    We observe that when the upper limit n is replaced by mn, the last formula is still valid. Letting Ω(m,k) be the connection coefficients

    Ω(m,k)=mj=k(1)kj+1(jk),

    we have the following formula (see Theorem 1) with an extra parameter m:

    Bn=mk=0knΩ(m,k),wheremn.

    Three remarkable formulae can be highlighted in anticipation as exemplification (see Eqs (2.20), (3.14) and (4.1)), where for m=n, the last two identities resemble those found respectively by Bergmann [7] and Gould [24, Eq (1.4)]:

    n+Bn=mk=0(k+2)nmj=k(1)kj+1(jk),mn2;Bn=mk=1knmj=k(1)j1j(j+1)(mj),mn2;Bn=mk=1knmj=k(1)k1(j1k1)Hj,m>n1.

    The rest of the paper will be organized as follows. In the next section, we shall establish several representation formulae of Bn by parameterizing known double sums with m. Then in Section 3, by examining equivalent expressions for Ω(m,k) and another connection coefficient ω(m,k), we shall prove further explicit formulae for Bernoulli numbers. Finally, the paper will end in Section 4, where more summation formulae will be shown.

    Throughout the paper, we shall frequently make use of the following notations. Let N be the set of natural numbers with N0={0}N. For nN0 and an indeterminate x, the shifted factorial is defined by

    (x)01and(x)n=n1k=0(x+k)fornN.

    The harmonic numbers Hn are given by the partial sums Hn=nk=11k,wherenN.

    Denote by [yn]ϕ(y) the coefficient of yn in the formal power series ϕ(y). Recall the exponential generating function of the Bernoulli numbers

    yey1=n=0Bnn!yn.

    Expanding this function into the series

    yey1=ln{1+(ey1)}ey1=j=0(1)jj+1(ey1)j,

    we get, for mn, the following expression

    Bn=n![yn]mj=0(1)jj+1(ey1)j=n!mj=0(1)jj!j+1[yn](ey1)jj!=mj=0(1)jj!j+1S2(n,j),

    where S2(n,j) is the Stirling number of the second kind

    S2(n,j)=n![yn](ey1)jj!=1j!jk=0(1)jk(jk)kn. (2.1)

    Therefore, we have established, by substitution, the following explicit formula.

    Theorem 1 (m,nN0 with mn).

    Bn=mj=0jk=0(1)kj+1(jk)kn=mk=0knmj=k(1)kj+1(jk).

    This fundamental result will be the starting point for us to examine explicit formulae of Bernoulli numbers. When m=n+1, the corresponding formula can be located in Jordan [29, §78, Page 236]. Instead, its m=n case is well-known; that can be found in Cook [18], Gould [23, Eq (1)] and [24, Eq (1.3)], Higgens [28], Quaintance and Gould [43, Eq (15.2)].

    Define the coefficients Ω(m,k) by

    Ω(m,k):=mj=k(1)kj+1(jk). (2.2)

    We can rewrite the basic formula in Theorem 1 as

    Bn=mk=0knΩ(m,k),wheremn. (2.3)

    Lemma 2. For mk, the coefficients Ω(m,k) satisfy the recurrence relations:

    Ω(m,k)Ω(m1,k)=(1)km+1(mk), (2.4)
    Ω(m,k)Ω(m,k1)=(1)kk(m+1k). (2.5)

    Proof. The first one (2.4) follows directly from the definition of Ω(m,k). The second one can be done as follows

    Ω(m,k)Ω(m,k1)=mj=k(1)kj+1(jk)+mj=k1(1)kj+1(jk1)=mj=k1(1)kj+1{(jk)+(jk1)}=mj=k1(1)kj+1(j+1k)=(1)kkmj=k1(jk1),

    which confirms (2.5) after having evaluated the binomial sum

    mj=k1(jk1)=(m+1k).

    In addition, the lower triangular matrix

    Ωm:=[Ω(i,j)]1i,jm

    with diagonal elements

    Ω(k,k)=(1)kk+1

    is invertible. We can determine its inverse explicitly by

    Ω1m=[(1)j(ij)1+2i+ij1+j]1i,jm.

    Similar to the formula in Theorem 1, we have the following three variants.

    Proposition 3 (m,nN).

    Bn=mk=1kn+1mj=k(1)k1j2(jk),m>n2; (2.6)
    Bn=mk=1knmj=k(1)k1j(j+1)(jk),mn2; (2.7)
    Bn=mk=1knmj=k(1)k2j+1j(j+1)(jk),mn2. (2.8)

    Among these formulae, the first two reduce, for m=n+1 and m=n, to Fekih-Ahmed [20, Eqs (5) and (6)], respectively.

    Proof. According to (2.5), we have, for mn>1, the following equalities:

    Bn=mk=1knΩ(m,k)=mk=1(1)k(m+1k)kn1+mk=1knΩ(m,k1)=(1)m(m+1)n1+mk=1knmi=k1(1)k1i+1(ik1).

    Simplifying the last line

    Bn=m+1k=1knmi=k1(1)k1i+1(ik1),(mn2) (2.9)

    and then reformulating it as

    Bn=m+1k=1kn+1mi=k1(1)k1(i+1)2(i+1k),

    we confirm (2.6) under the replacements "mm1" and "ij1".

    Observe further that for mn, the double sum vanishes

    mk=1knmj=k(1)kj(jk)=0,(mn2), (2.10)

    which is justified by the finite differences

    mk=1(1)kkn1mj=k(j1k1)=mk=1(1)k(mk)kn1=0.

    Then (2.7) and (2.8) follow respectively from the difference and sum between Eq (2.10) and that in Theorem 1.

    Besides (2.10) and the formula in Theorem 1, we also have the following counterparts.

    Theorem 4 (m,nN with mn1).

    mk=1knmj=k(1)kj+2(jk)={Bn,n20;Bn+1,n21. (2.11)
    mk=1knmj=k(1)kj+3(jk)={Bn+12Bn+2,n20;32Bn+1,n21. (2.12)

    Proof. In accordance with the binomial relation

    (jk)=(j+1k)(jk1), (2.13)

    we can write the sum in (2.11) as "A+B", where

    A=mk=0knmj=k(1)kj+2(j+1k),B=mk=0knmj=k(1)k1j+2(jk1).

    Replacing the summation index j by i1 in "A", we can reformulate it as follows:

    A=mk=0knm+1i=k+1(1)ki+1(ik)=m+1k=0knm+1i=k(1)ki+1(ik)m+1k=0(1)kknk+1.

    Recalling Theorem 1, we deduce the expression

    A=Bnm+1k=0(1)kknk+1. (2.14)

    When n>1, applying first the partial fractions and then making the replacement "ji1", we can rewrite "B" as

    B=mk=1kn+1mj=k(1)k1(j+1)(j+2)(j+1k)=mk=1kn+1mj=k(1)k1j+1(j+1k)+mk=1kn+1mj=k(1)kj+2(j+1k)=mk=1kn+1m+1i=k+1(1)ki+1(ik)mk=1kn+1m+1i=k+1(1)ki(ik).

    By appealing to Theorem 1 and (2.10), we reduce the last expression to the following one:

    B=Bn+1+m+1k=1(1)kknm+1k=1(1)kkn+1k+1=Bn+1+m+1k=1(1)kknk+1. (2.15)

    Putting together (2.14) and (2.15), we find that

    A+B=Bn+Bn+1,

    which is equivalent to the expression in (2.11).

    Similarly, by making use of (2.13), we can write the sum (2.12) as "C+D", where

    C=mk=1knmj=k(1)kj+3(j+1k),D=mk=1knmj=k(1)k1j+3(jk1).

    Replacing the summation index j by i1 in "C", we can manipulate it as follows:

    C=mk=1knm+1i=k+1(1)ki+2(ik)=m+1k=1knm+1i=k(1)ki+2(ik)m+1k=1(1)kknk+2.

    Evaluating the first sum by (2.11), we obtain the expression

    C=Bn+Bn+1m+1k=1(1)kknk+2. (2.16)

    We can analogously treat "D" as follows:

    D=mk=1kn+1mj=k(1)k+1(j+1)(j+3)(j+1k)=12mk=1kn+1mj=k(1)kj+3(j+1k)12mk=1kn+1mj=k(1)kj+1(j+1k)=12mk=1kn+1m+1i=k+1(1)ki+2(ik)12mk=1kn+1m+1i=k+1(1)ki(ik).

    Applying (2.10) and (2.11), we can further simplify the last expression

    D=Bn+1+Bn+2212m+1k=1(1)kkn+1k+2+12m+1k=1(1)kkn=Bn+1+Bn+22+m+1k=1(1)kknk+2. (2.17)

    Finally, putting (2.16) and (2.17), we arrive at

    C+D=Bn+3Bn+1+Bn+22,

    which proves the second identity (2.12).

    Furthermore, there are four similar sums that can be expressed in closed forms in Bernoulli numbers.

    Theorem 5 (m,nN).

    mk=0(k+1)nmi=k(1)ki+1(ik)=Bn,mn2; (2.18)
    mk=0(k+1)nmi=k(1)ki+2(ik)=Bn+1,mn1; (2.19)
    mk=0(k+2)nmi=k(1)ki+1(ik)=n+Bn,mn2; (2.20)
    mk=0(k+2)nmi=k(1)ki+2(ik)=1Bn+Bn+1,mn1. (2.21)

    Proof. The first one (2.18) is deduced from (2.9) under the replacement "kk+1".

    By splitting the sum in (2.19) into two, then making the replacements "ij1,kk1" for the former and "kk1" for the latter, we can confirm the second identity (2.19) as follows:

    mk=0(k+1)nmi=k(1)ki+2(ik)=mk=0(k+1)nmi=k(1)ki+2{(i+1k+1)(ik+1)}=m+1k=1knm+1j=k(1)k1j+1(jk)+m+1k=1knmi=k1(1)ki+2(ik)=mk=1knmi=k(1)ki+2(ik)m+1k=1knm+1j=k(1)kj+1(jk)=(Bn+Bn+1)Bn=Bn+1.

    According to (2.13), we can write the third sum in (2.20) as "E+F", where

    E=mk=0(k+2)nmi=k(1)ki+1(i+1k+1),F=mk=0(k+2)nmi=k(1)k1i+1(ik+1).

    The sum "E" can be evaluated by

    E=mk=0(1)k(k+2)nk+1mi=k(ik)=mk=0(1)k(k+2)nk+1(m+1k+1)=ni=0(ni)mk=0(1)k(m+1k+1)(k+1)i1.

    Because the above inner sum results in zero for 2in, there remain, for "E", only two terms corresponding to i=1 and i=0:

    E=n+mk=0(1)kk+1(m+1k+1)=n+Hm+1. (2.22)

    The sum "F" can be restated, under "kk1", as

    F=m+1k=1(k+1)nmi=k1(1)ki+1(ik)=mk=1(k+1)nmi=k(1)ki+1(ik)=mk=0(k+1)nmi=k(1)ki+1(ik)mi=01i+1.

    Evaluating the former sum by (2.18), we find that

    F=BnHm+1. (2.23)

    Then the third identity (2.20) follows by putting (2.22) and (2.23) together.

    Finally, for (2.21), write that sum as "G+H", where

    G=mk=0(k+2)nmi=k(1)ki+2(i+1k+1),H=mk=0(k+2)nmi=k(1)k1i+2(ik+1).

    By making use of (2.18) and (2.7), we can evaluate

    G=m+1k=1(k+1)nm+1j=k(1)k1j+1(jk)=Hm+2Bn,H=mk=0(k+2)n+1mi=k(1)k1(i+1)(i+2)(i+1k+2)=m+1k=2kn+1m+1j=k(1)k+1j(j+1)(jk)=Bn+1m+1j=11j+1=1+Bn+1Hm+2.

    It follows consequently that

    G+H=1Bn+Bn+1,

    which coincides with the right-hand side of (2.21).

    In this section, we shall first prove a binomial identity. Then it will be utilized to derive equivalent expressions for the connection coefficients Ω(m,k) and ω(m,k). These equivalent forms will be useful in proving further explicit formulae for Bernoulli numbers.

    We begin with the following binomial identity.

    Theorem 6. For two indeterminates x,y and m,kN0 with mk, the following algebraic identity holds:

    mj=k(xj)k(1+y)k(1x+y+j)=mi=k{(xi)k(1+y+mi)k+1+(xk)k+1(1x+y+i)(1+yk+i)k+1}=mi=k{(xm+ik)k(1+yk+i)k+1+(xk)k+1(1x+y+i)(1+yk+i)k+1}.

    Proof. We prove the theorem by examining the double sum

    S:=mi=kmj=iΛ(i,j),whereΛ(i,j):=(k+1)(xi)k(yi+j)k+2.

    For the given λj-sequence below, it is routine to check its difference

    λj=(xi)k(yi+j)k+1,λjλj+1=Λ(i,j).

    Therefore, we can manipulate S by telescoping as follows:

    S=mi=kmj=iΛ(i,j)=mi=kmj=i{λjλj+1}=mi=k{λiλm+1},

    which can be restated as

    S=mi=k{(xi)k(y)k+1(xi)k(1+yi+m)k+1}. (3.1)

    Alternatively, for another λi-sequence, we have

    λi:=(xi)k+1(1+yi+j)k+1,λiλi+1=(1x+y+j)Λ(i,j).

    Hence, we can reformulate S analogously as follows:

    S=mj=kji=kΛ(i,j)=mj=kji=kλiλi+11x+y+j=mj=kλkλj+11x+y+j,

    which can be rewritten explicitly

    S=mj=k{(xk)k+1(1x+y+j)(1+yk+j)k+1(xj1)k+1(1x+y+j)(y)k+1}. (3.2)

    By relating (3.1) to (3.2), we derive the equality

    mi=k(xi)k(1+yi+m)k+1+mj=k(xk)k+1(1x+y+j)(1+yk+j)k+1=mi=k(xi)k(y)k+1+mj=k(xj1)k+1(1x+y+j)(y)k+1=mj=k(xj)k(1x+y+j)(1+y)k,

    which is equivalent to the expression in the theorem.

    When x=y=0, Theorem 6 reduces to the crucial identity used by Komatsu and Pita-Ruiz [31, Eq (27)].

    mj=km+1j+1(jk)=mi=k(m+1ik)(mi)=mi=k(m+1mi)(mik).

    From this, we deduce the equivalent expressions below

    Ω(m,k)=mi=k(1)km+1(m+1ik)(mi)=mi=k(i)k(1+mi)k+1. (3.3)

    This leads us to the following formula which reduces, for m=n, to Munch [39] (cf. Gould [24, Eq (1.8)], Quaintance and Gould [43, Eq (15.7)]).

    Theorem 7 (mn1).

    Bn=mk=1knmi=k(i)k(1+mi)k+1=mk=1knmi=k(1)km+1(m+1ik)(mi).

    Consider the difference

    mk=1knmi=k{(1i)k1(2+mi)k(i)k(1+mi)k+1}=mk=1knmi=k(1i)k1(1+mi)k+1(m+1)=mk=1knmi=kλiλi+1k where λi=(1i)k(2+mi)k=mk=1(1)k1(mk)kn1=0,mn>1.

    We infer that the formula in Theorem 7 is equivalent to the following one.

    Theorem 8 (mn2).

    Bn=mk=1knmi=k(1)k1m+1(m+1ik)(mi1). (3.4)

    Its special case m=n can be found in Gould [24, Eq (1.9)], Quaintance and Gould [43, Eq (15.5)] and Shanks [45]. However, the formula produced by Komatsu and Pita–Ruiz [31, Eq (2)] is incorrect.

    The last formula can be rewritten as

    Bn=mk=1knω(m,k), (3.5)

    where the connection coefficients are defined by

    ω(m,k)=mi=k(1i)k1(2+mi)k=mi=k(1)k1m+1(m+1ik)(mi1). (3.6)

    It is obvious that the matrix of the connection coefficients

    ωm:=[ω(i,j)]1i,jm

    with diagonal entries

    ω(k,k)=(1)k+1k(k+1)

    is lower triangular and invertible. It is not difficult to check that its inverse is given explicitly by

    ω1m=[(1)j+1(ij)(2ij+ij)]1i,jm.

    Observing further that

    ω(m,k)=m1j=k1(j)k1(1+mj)k,

    we can prove the following interesting lemma.

    Lemma 9. The connection coefficients satisfy the properties:

    Relations between Ω(m,k) and ω(m,k)

    ω(m,k)=Ω(m,k1)(m)k1k!,Ω(m,k)=ω(m,k+1)+(m)k(k+1)!. (3.7)

    Recurrence relations: m,kN

    ω(m,k)ω(m,k1)=(1)k1k(k1)(mk1), (3.8)
    ω(m,k)ω(m1,k)=(1)k1m(m+1)(mk). (3.9)

    Equivalent expression: m,kN

    ω(m,k)=mj=k(1)k1j(j+1)(jk). (3.10)

    Proof. The recurrence relations (3.8) and (3.9) follow by combining (3.7) with (2.4) and (2.5). The equivalent expression displayed in (3.10) is obtained by iterating (3.9), which has already appeared in (2.7).

    The connection coefficients Ω(m,k) and ω(m,k) are related to the harmonic numbers in the following manners.

    Proposition 10 (Equivalent expressions: m,kN).

    Ω(m,k)=Hm+1+ki=1(1)ii(m+1i)=mi=k(1)ii+1(m+1i+1), (3.11)
    ω(m,k)=Hm+11+k1i=1(1)ii(i+1)(mi)=mi=k(1)i1i(i+1)(mi). (3.12)

    Proof. By iterating the relation (2.5) k-times, we find that

    Ω(m,k)=Ω(m,0)+ki=1(1)ii(m+1i)

    which becomes the first expression in (3.11) since Ω(m,0)=Hm+1. The second expression in (3.11) follows by the inverse pair

    Hn=ni=1(1)i1i(ni)and1n=ni=1(1)i1(ni)Hi.

    Analogously, by iterating the relation (3.8) k-times, we have that

    ω(m,k)=ω(m,1)+k1i=1(1)ii(i+1)(mi),

    which gives the first expression in (3.12) since ω(m,1)=Hm+11. The second expression in (3.12) follows by another inverse pair

    Hm+11=mi=1(1)i1i(i+1)(mi)and1m(m+1)=mi=1(1)i1(mi)(Hi+11).

    We have therefore the following four explicit formulae.

    Theorem 11 (m,nN0).

    Bn=mi=0(1)ii+1(m+1i+1)ik=0kn,mn0; (3.13)
    Bn=mi=1(1)i1i(i+1)(mi)ik=1kn,mn2; (3.14)
    Bn=mi=0(1)ii+1(m+1i+1)i+1k=0kn,mn2; (3.15)
    Bn=(1)nn!χ(m=n)n+1+mi=0(1)ii+1(mi+1)ik=0kn,mn0. (3.16)

    In the last line, χ stands for the logical function with χ(true)=1 and χ(false)=0. When m=n, the first identity recovers Bergmann [7] (cf. Gould [23, Eq (5)], [24, Eq (1.10)]), and the two variants (3.15) and (3.16) reduce to Gould [24, Eqs (1.11) and (1.12)]. In addition, we remark that when m>n, (3.15) is substantially the same as (3.13).

    Proof. The first two identities follow directly by (3.11) and (3.12). In comparison with (3.13), the third identity (3.15) is equivalent to

    mi=0(1)i(m+1i+1)(i+1)n1=m+1j=1(1)j1(m+1j)jn1=0,

    because for mn>1, the order m+1 of the differences is higher than the polynomial degree n1.

    By means of the binomial relation

    (n+1i+1)=(ni+1)+(ni),

    we can rewrite (3.13) as

    Bn=mi=0(1)ii+1(mi+1)ik=0kn+mi=0(1)ii+1(mi)ik=0kn.

    Recall that the power sum j1k=0kn results in a polynomial of degree n+1 in j with the leading coefficient being equal to 1n+1. We can evaluate the second sum above in closed form as follows:

    mi=0(1)ii+1(mi)ik=0kn=(1)mm+1mj=0(1)1+mj(m+1j)j1k=0kn=(1)mm+1Δm+1xn+1n+1|x=0=(1)nn!n+1χ(m=n).

    This confirms identity (3.16) and completes the proof of Theorem 11.

    Consider the partial fraction decomposition

    (x)(1+m+x)+1=j=0(1)j+1+m+x+j(j)(1+m+j).

    In the above equation, letting "xi,k" and "x1i,k1", we have, respectively, the two equalities:

    (i)k(1+mi)k+1=kj=0(1)j+k1+mi+j(kj)(1+m+jk),(1i)k1(2+mi)k=kj=1(1)j+k1+mi+j(k1j1)(m+jk1).

    Substituting them into (3.3) and (3.6), respectively, then manipulating the double sums by exchanging the summation order, we derive the following equivalent expressions in terms of harmonic numbers.

    Proposition 12 (m,kN0).

    Ω(m,k)=kj=0(1)j+k(kj)(1+m+jk){H1+mk+jHj},mk0;ω(m,k)=kj=1(1)j+k(k1j1)(m+jk1){H1+mk+jHj},mk1.

    Consequently, we find two further explicit formulae involving harmonic numbers.

    Theorem 13 (m,nN).

    Bn=mk=1knkj=0(1)j+k(kj)(1+m+jk){H1+mk+jHj},mn1;Bn=mk=1knkj=1(1)j+k(k1j1)(m+jk1){H1+mk+jHj},mn2.

    We are going to review, finally in this section, more summation formulae involving harmonic numbers and Stirling numbers of the second kind by intervening with an extra integer parameter m.

    There exist two formulae expressing Bn in terms of harmonic numbers, that are quite different from those in Theorem 13.

    Theorem 14 (m>n1).

    Bn=mi=1Hiik=1(1)k1(i1k1)kn=mk=1knmi=k(1)k1(i1k1)Hi, (4.1)
    Bn=2n+1mi=1Hii+1ik=1(1)k1(ik)kn+1=2n+1mk=1kn+1mi=k(1)k1(ik)Hii+1. (4.2)

    When m=n, the second formula (4.2) recovers Gould [24, Eq (1.4)].

    Proof. Recalling the generating function

    i=1Hiyi=ln(1y)1y,

    we can proceed with

    Bn=n![xn]xex1=n![xn]ex1ex×ln{1(1ex)}1(1ex)=n![xn]mi=1Hiex(1ex)i1m>n=n![xn]mi=1Hiik=1(1)k1(i1k1)ekx,

    which results in the first formula (4.1).

    The second formula (4.2) is a variant of (4.1), which can be verified by making use of another generating function

    i=1Hii+1yi+1=ln2(1y)2.

    In fact, we can similarly extract the coefficient as follows:

    Bn=n![xn]xex1=n![xn]2ln2{1(1ex)}2x(ex1)=2n![xn+1]mi=1Hii+1(1ex)im>n=2n![xn+1]mi=1Hii+1ik=1(1)k(ik)ekx=2n+1mi=1Hii+1ik=1(1)k1(ik)kn+1.

    Here we offer three formulae containing the Stirling numbers of the second kind, extending those by Shirai [46, Theorem 6 and Corollary 7] (cf. Morrow [38, Eq (1.5)]).

    Theorem 15 (λ0 and m,nN with mn0).

    Bn=mj=0(1)j(m+1j+1)(n+jj)S2(n+j,j), (4.3)
    Bn=nn1m+1j=1(1)j(m+2j+1)(n+j1j)S2(n+j,j), (4.4)
    Bn=nn1m+2j=1(1)jλ+j+1λ(m+3j+1)(n+j1j)S2(n+j,j). (4.5)

    When m=n, the first formula (4.3) can be found in Gould [23, Eq (11)], [24, Eq (1.5)] (see also Luo [33], Quaintance and Gould [43, Eq (15.10)], Shirai [46, Theorem 6]). Two variants (4.4) and (4.5) with m=n and λ=n+23 are due to Shirai [46, Corollary 7].

    Proof. Recall the exponential generating function

    (ex1)jj!=n=0xn+j(n+j)!S2(n+j,j).

    We can extract the coefficient

    Bn=n![xn]xex1=n![xn]11{1ex1x}=n![xn]mi=0{1ex1x}imn=n!mi=0ij=0(1)j(ij)[xn+j](ex1)j=n!mj=0(1)j[xn+j](ex1)jmi=j(ij).

    Evaluating the last sum

    mi=j(ij)=(m+1j+1),

    we get the expression

    Bn=n!mj=0(1)j(m+1j+1)[xn+j](ex1)j=mj=0(1)j(m+1j+1)(n+jj)S2(n+j,j),

    which proves the first formula (4.3).

    The second sum (4.4) can be evaluated as follows:

    m+1j=1(1)jnn1(m+2j+1)(n+j1j)S2(n+j,j)=n![xn]m+1j=1(1)j(m+2j+1)n+jn1(ex1x)j=n![xn]m+1j=1(1)j(m+2j+1)(1+j+1n1)(ex1x)j=Bn+n!(m+2)n1[xn]m+1j=0(1)j(m+1j)(ex1x)j=Bn+n!(m+2)n1[xn](1ex1x)m+1,

    because the last coefficient vanishes, thanks to the fact that m+1>n and the constant term of (1ex1x) is equal to zero.

    Finally, writing

    λ+j+1λ=1+j+1λ,

    we can reformulate the third sum in (4.5) as

    m+2j=1(1)jn(λ+j+1)(n1)λ(m+3j+1)(n+j1j)S2(n+j,j)=nn1m+2j=1(1)j(m+3j+1)(n+j1j)S2(n+j,j)+n(m+3)(n1)λm+2j=1(1)j(m+2j)(n+j1j)S2(n+j,j).

    The first term on the right equals Bn in view of (4.4). The second term on the right vanishes again, which is justified analogously as follows:

    m+2j=1(1)j(m+2j)(n+j1j)S2(n+j,j)=(n1)!m+2j=1(1)j(n+j)(m+2j)[xn](ex1x)j=n(n1)![xn]m+2j=0(1)j(m+2j)(ex1x)j+(m+2)(n1)![xn]m+2j=1(1)j(m+1j1)(ex1x)j=n(n1)![xn](1ex1x)m+2(m+2)(n1)![xn](1ex1x)m+1(ex1x).

    Theorem 16 (mn2).

    Bn=n2n1mi=1(1)i1i!2i+1S2(n1,i) (4.6)
    =n2n1mk=1kn1mi=k(1)k12i+1(ik),Bn=n2n1mk=1kn1mi=k(1)k12i(i1k1). (4.7)

    The special case m=n1 of the first formula (4.6) was found by Worptzky [50] (see also Carlitz [9, Eq (6)], Garabedian [21], Gould [23, Eq (2)], [24, Eq (3.22)]). Instead, the variant (4.7) reduces, for m=n, to Carlitz [9, Eq (5)].

    Proof. By making use of the algebraic identity

    F(x):={2xe2x11}{xex11}=x1+ex,

    we can extract the coefficient

    2n1n!Bn=[xn]F(x)=[xn]x1+ex=[xn1]12(1ex)=[xn1]mi=1(1)i2i+1(ex1)i1+mn>0=mi=1(1)i12i+1i!(n1)!S2(n1,i),

    which proves the first identity (4.6). Analogously, we have

    2n1n!Bn=[xn]F(x)=[xn1]11+ex=[xn1]{12(11ex2)111ex2}=mi=1(1)i12i[xn1]{(ex1)i+(ex1)i1}mn1=mi=1(1)i12i(n1)!{i!S2(n1,i)+(i1)!S2(n1,i1)}.

    By invoking the expression

    S2(n,i)=ij=1(1)i+ji!(ij)jn,

    we can further manipulate the last sum

    2n1nBn=mi=1(1)k12iik=1{(ik)(i1k)}kn1=mi=1(1)k12iik=1(i1k1)kn1=mi=1(1)k1i2iik=1(ik)kn.

    This confirms the second formula (4.7).

    The formulae in Theorem 16 imply the following results, that recover, for m=n1 and m=n, the two formulae due to Todorov [48, Eqs (8) and (9)] (see also Gould [24, Eq (3.23)] for the former one).

    Theorem 17 (mn2).

    Bn=n2m+1(2n1)mj=0jk=0(1)k1(m+1j+1)kn1, (4.8)
    Bn=n2m(2n1)mj=1jk=1(1)k1(mj)kn1. (4.9)

    Proof. By means of the binomial transform

    mi=k(ik)2mi=mi=k(ik)mj=i(miji)=mj=kji=k(ik)(mimj)=mj=k(m+1jk)=mj=k(m+1j+1),

    we can reformulate the sum in (4.6) as

    Bn=n2n1mk=0(1)k1kn12m+1mi=k2m+12i+1(ik)=n2n1mk=0(1)k1kn12m+1mj=k(m+1j+1)=n2m+1(2n1)mj=0jk=0(1)k1(m+1j+1)kn1,

    which confirms the first identity (4.8). The second one (4.8) can be done analogously by applying another binomial transform

    mi=k(i1k1)2mi=mi=k(i1k1)mj=i(miji)=mj=kji=k(i1k1)(mimj)=mj=k(mjk)=mj=k(mj)

    to (4.6) and then manipulate the double sum as follows:

    Bn=n2n1nk=1knni=k(1)k1i2i(ik)=n2n1mk=1kn1(1)k12mmi=k(i1k1)2mi=n2n1mk=1kn1(1)k12mmj=k(mj)=n2m(2n1)mj=1jk=1(1)k1(mj)kn1.

    Nadia Na Li: Computation, Writing, and Editing; Wenchang Chu: Original draft, Review, and Supervision. Both authors have read and agreed to the published version of the manuscript.

    The authors express their sincere gratitude to the three reviewers for the careful reading, critical comments, and valuable suggestions that contributed significantly to improving the manuscript during revision.

    Prof. Wenchang Chu is the Guest Editor of special issue "Combinatorial Analysis and Mathematical Constants" for AIMS Mathematics. Prof. Wenchang Chu was not involved in the editorial review and the decision to publish this article. The authors declare no conflicts of interest.


    Acknowledgments



    We gratefully acknowledge support from the United States National Institute of Aging, Grant # P30 AG028383. We also wish to thank the patients and families in our clinic who participated in this study.

    Conflict of interest



    All authors declare no conflicts of interest in this paper.

    [1] Lockhart SN, DeCarli C (2014) Structural imaging measures of brain aging. Neuropsychol Rev 24: 271-289. doi: 10.1007/s11065-014-9268-3
    [2] Giorgio A, Santelli L, Tomassini V, et al. (2010) Age-related changes in grey and white matter structure throughout adulthood. Neuroimage 51: 943-951. doi: 10.1016/j.neuroimage.2010.03.004
    [3] Taki Y, Thyreau B, Kinomura S, et al. (2013) A longitudinal study of age- and gender-related annual rate of volume changes in regional gray matter in healthy adults. Hum Brain Mapp 34: 2292-2301. doi: 10.1002/hbm.22067
    [4] Madsen SK, Gutman BA, Joshi SH, et al. (2013) Mapping dynamic changes in ventricular volume onto baseline cortical surfaces in normal aging, MCI, and Alzheimer's disease. Multimodal Brain Image Anal (2013) 8159: 84-94. doi: 10.1007/978-3-319-02126-3_9
    [5] Fjell AM, Walhovd KB (2010) Structural brain changes in aging: courses, causes and cognitive consequences. Rev Neurosci 21: 187-221. doi: 10.1515/REVNEURO.2010.21.3.187
    [6] Maillet D, Rajah MN (2013) Association between prefrontal activity and volume change in prefrontal and medial temporal lobes in aging and dementia: A review. Ageing Res Rev 12: 479-489. doi: 10.1016/j.arr.2012.11.001
    [7] Gorbach T, Pudas S, Lundquist A, et al. (2017) Longitudinal association between hippocampus atrophy and episodic-memory decline. Neurobiol Aging 51: 167-176. doi: 10.1016/j.neurobiolaging.2016.12.002
    [8] Schmitt FA, Nelson PT, Abner E, et al. (2012) University of Kentucky Sanders-Brown healthy brain aging volunteers: donor characteristics, procedures and neuropathology. Curr Alzheimer Res 9: 724-733. doi: 10.2174/156720512801322591
    [9] McKhann G, Drachman D, Folstein M, et al. (1984) Clinical diagnosis of Alzheimer's disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease. Neurology 34: 939-944. doi: 10.1212/WNL.34.7.939
    [10] Albert MS, DeKosky ST, Dickson D, et al. (2011) The diagnosis of mild cognitive impairment due to Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease. Alzheimers Dement 7: 270-279. doi: 10.1016/j.jalz.2011.03.008
    [11] Jicha GA, Abner EL, Schmitt FA, et al. (2012) Preclinical AD Workgroup staging: pathological correlates and potential challenges. Neurobiol Aging 33: 622 e1-622 e16. doi: 10.1016/j.neurobiolaging.2011.02.018
    [12] Tustison NJ, Avants BB, Cook PA, et al. (2010) N4ITK: improved N3 bias correction. IEEE Trans Med Imaging 29: 1310-1320. doi: 10.1109/TMI.2010.2046908
    [13] Smith CD, Johnson ES, Van Eldik LJ, et al. (2016) Peripheral (deep) but not periventricular MRI white matter hyperintensities are increased in clinical vascular dementia compared to Alzheimer's disease. Brain Behav 6: e00438. doi: 10.1002/brb3.438
    [14] Gudbjartsson H, Patz S (1995) The Rician distribution of noisy MRI data. Magn Reson Med 34: 910-914. doi: 10.1002/mrm.1910340618
    [15] Andersen AH (1996) On the Rician distribution of noisy MRI data. Magn Reson Med 36: 331-333. doi: 10.1002/mrm.1910360222
    [16] Ashburner J, Ridgway GR (2012) Symmetric diffeomorphic modeling of longitudinal structural MRI. Front Neurosci 6: 197.
    [17] Tabatabaei-Jafari H, Shaw ME, Cherbuin N (2015) Cerebral atrophy in mild cognitive impairment: A systematic review with meta-analysis. Alzheimers Dement (Amst) 1: 487-504. doi: 10.1016/j.dadm.2015.11.002
    [18] Smith CD, Chebrolu H, Wekstein DR, et al. (2007) Age and gender effects on human brain anatomy: a voxel-based morphometric study in healthy elderly. Neurobiol Aging 28: 1075-1087. doi: 10.1016/j.neurobiolaging.2006.05.018
    [19] Allen JS, Bruss J, Brown CK, et al. (2005) Normal neuroanatomical variation due to age: the major lobes and a parcellation of the temporal region. Neurobiol Aging 26: 1245-1260. doi: 10.1016/j.neurobiolaging.2005.05.023
    [20] Bagarinao E, Watanabe H, Maesawa S, et al. (2017) An unbiased data-driven age-related structural brain parcellation for the identification of intrinsic brain volume changes over the adult lifespan. Neuroimage 169: 134-144. doi: 10.1016/j.neuroimage.2017.12.014
    [21] Cardenas VA, Du AT, Hardin D, et al. (2003) Comparison of methods for measuring longitudinal brain change in cognitive impairment and dementia. Neurobiol Aging 24: 537-544. doi: 10.1016/S0197-4580(02)00130-6
    [22] Good CD, Johnsrude IS, Ashburner J, et al. (2001) A voxel-based morphometric study of ageing in 465 normal adult human brains. Neuroimage 14: 21-36. doi: 10.1006/nimg.2001.0786
    [23] Resnick SM, Pham DL, Kraut MA, et al. (2003) Longitudinal magnetic resonance imaging studies of older adults: a shrinking brain. J Neurosci 23: 3295-3301. doi: 10.1523/JNEUROSCI.23-08-03295.2003
    [24] Hedman AM, van Haren NE, Schnack HG, et al. (2012) Human brain changes across the life span: a review of 56 longitudinal magnetic resonance imaging studies. Hum Brain Mapp 33: 1987-2002. doi: 10.1002/hbm.21334
    [25] Jack CR, Weigand SD, Shiung MM, et al. (2008) Atrophy rates accelerate in amnestic mild cognitive impairment. Neurology 70: 1740-1752. doi: 10.1212/01.wnl.0000281688.77598.35
    [26] Resnick SM, Goldszal AF, Davatzikos C, et al. (2000) One–year age changes in MRI brain volumes in older adults. Cereb Cortex 10: 464-472. doi: 10.1093/cercor/10.5.464
    [27] Enzinger C, Fazekas F, Matthews PM, et al. (2005) Risk factors for progression of brain atrophy in aging: six-year follow-up of normal subjects. Neurology 64: 1704-1711. doi: 10.1212/01.WNL.0000161871.83614.BB
    [28] Burgmans S, van Boxtel MP, Vuurman EF, et al. (2009) The prevalence of cortical gray matter atrophy may be overestimated in the healthy aging brain. Neuropsychology 23: 541-550. doi: 10.1037/a0016161
    [29] Sigurdsson S, Aspelund T, Forsberg L, et al. (2012) Brain tissue volumes in the general population of the elderly: the AGES-Reykjavik study. Neuroimage 59: 3862-3870. doi: 10.1016/j.neuroimage.2011.11.024
    [30] Pfefferbaum A, Sullivan EV (2015) Cross-sectional versus longitudinal estimates of age-related changes in the adult brain: overlaps and discrepancies. Neurobiol Aging 36: 2563-2567. doi: 10.1016/j.neurobiolaging.2015.05.005
    [31] Driscoll I, Davatzikos C, An Y, et al. (2009) Longitudinal pattern of regional brain volume change differentiates normal aging from MCI. Neurology 72: 1906-1913. doi: 10.1212/WNL.0b013e3181a82634
    [32] DeCarli C, Massaro J, Harvey D, et al. (2005) Measures of brain morphology and infarction in the framingham heart study: establishing what is normal. Neurobiol Aging 26: 491-510. doi: 10.1016/j.neurobiolaging.2004.05.004
    [33] Nelson PT, Head E, Schmitt FA, et al. (2011) Alzheimer's disease is not “brain aging”: neuropathological, genetic, and epidemiological human studies. Acta Neuropathol 121: 571-587. doi: 10.1007/s00401-011-0826-y
    [34] Raz N, Lindenberger U, Rodrigue KM, et al. (2005) Regional brain changes in aging healthy adults: general trends, individual differences and modifiers. Cereb Cortex 15: 1676-1689. doi: 10.1093/cercor/bhi044
    [35] Morra JH, Tu Z, Apostolova LG, et al. (2009) Automated mapping of hippocampal atrophy in 1-year repeat MRI data from 490 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls. Neuroimage 45: S3-15. doi: 10.1016/j.neuroimage.2008.10.043
    [36] Raz N, Rodrigue KM, Head D, et al. (2004) Differential aging of the medial temporal lobe: a study of a five-year change. Neurology 62: 433-438. doi: 10.1212/01.WNL.0000106466.09835.46
    [37] Grieve SM, Clark CR, Williams LM, et al. (2005) Preservation of limbic and paralimbic structures in aging. Hum Brain Mapp 25: 391-401. doi: 10.1002/hbm.20115
    [38] Fiford CM, Ridgway GR, Cash DM, et al. (2017) Patterns of progressive atrophy vary with age in Alzheimer's disease patients. Neurobiol Aging 63: 22-32. doi: 10.1016/j.neurobiolaging.2017.11.002
    [39] Jack CR, Petersen RC, Xu Y, et al. (1998) Rate of medial temporal lobe atrophy in typical aging and Alzheimer's disease. Neurology 51: 993-999. doi: 10.1212/WNL.51.4.993
    [40] Apostolova LG, Thompson PM (2008) Mapping progressive brain structural changes in early Alzheimer's disease and mild cognitive impairment. Neuropsychologia 46: 1597-1612. doi: 10.1016/j.neuropsychologia.2007.10.026
    [41] Guo X, Wang Z, Li K, et al. (2010) Voxel-based assessment of gray and white matter volumes in Alzheimer's disease. Neurosci Lett 468: 146-150. doi: 10.1016/j.neulet.2009.10.086
    [42] Byun MS, Kim SE, Park J, et al. (2015) Heterogeneity of regional brain atrophy patterns associated with distinct progression rates in Alzheimer's disease. PLoS One 10: e0142756. doi: 10.1371/journal.pone.0142756
    [43] Takao H, Hayashi N, Ohtomo K (2013) Effects of the use of multiple scanners and of scanner upgrade in longitudinal voxel-based morphometry studies. J Magn Reson Imaging 38: 1283-1291. doi: 10.1002/jmri.24038
  • This article has been cited by:

    1. Aimin Xu, Some identities connecting Stirling numbers, central factorial numbers and higher-order Bernoulli polynomials, 2025, 10, 2473-6988, 3197, 10.3934/math.2025148
  • Reader Comments
  • © 2020 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(4864) PDF downloads(344) Cited by(8)

Figures and Tables

Figures(2)  /  Tables(6)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog