To analyze a certain frequency band, you first have to know the sampling frequency $f_\mathrm{S}$ that has been used to acquire your signal $x$. To compute the discrete Fourier transform (DFT) in Matlab:
y = fft(x);
The output of Matlab's FFT function has length $N$ and begins with frequency 0, $N$ beeing the length of $x$. The frequency range you're looking for therefore lies in the index range
$$
N\frac{f_1}{f_\mathrm{S}} + 1\ldots N\frac{f_2}{f_\mathrm{S}} +1
$$
Where $f_1$ is the lower and $f_2$ is the upper limit of your frequency range and $f_1 \leq f_2 \leq f_\mathrm{S}/2$ must hold. The addition of 1 accounts for Matlab indices beginning at 1, not at 0. Also note that in general the above expressions are non-integer numbers.